Yogesh Mani Tripathi

36 papers Journal 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analysis of overlapping measure with adaptive Type-II progressively censored data from a bounded distribution.
J. Comput. Appl. Math.
Liang Wang, Zoran Vidovic, Yogesh Mani Tripathi, Jia Liu
2025 J jnl
Analysis for left-truncated and right-censored competing risks data from marshall-olkin bivariate generalized lifetime family.
Comput. Stat.
Prakash Chandra, Arvind Kumar Alok, Yogesh Mani Tripathi, Liang Wang
2025 J jnl
Analysis of dependent complementary competing risks data from a generalized inverted family of lifetime distributions under a maximum ranked set sampling procedure with unequal samples.
J. Comput. Appl. Math.
Liang Wang, Chunfang Zhang, Yogesh Mani Tripathi, Yuhlong Lio
2025 J jnl
Inference for Dependent Competing Risks with Partially Observed Causes from Bivariate Inverted Exponentiated Pareto Distribution Under Generalized Progressive Hybrid Censoring.
Axioms
Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang
2025 J jnl
Inference for Maximum Ranked Set Sampling with Unequal Samples from the Burr Type-III Model with Cycle Effects.
Axioms
Zirui Chu, Liang Wang, Yogesh Mani Tripathi, Yuhlong Lio
2025 J jnl
Quality Estimation based Feedback Training for Improving Pronoun Translation.
CoRR
Harshit Dhankhar, Baban Gain, Asif Ekbal, Yogesh Mani Tripathi
2024 J jnl
Inference for dependent complementary competing risks model from an inverted Kumaraswamy distribution under ranked set sampling.
Qual. Reliab. Eng. Int.
Liang Wang, Yuhlong Lio, Yogesh Mani Tripathi, Sanku Dey
2024 J jnl
Inference for multicomponent stress-strength reliability based on unit generalized Rayleigh distribution.
Soft Comput.
Mayank Kumar Jha, Kundan Singh, Sanku Dey, Liang Wang, Yogesh Mani Tripathi
2024 J jnl
Inference of Constant-Stress Model of Fréchet Distribution under a Maximum Ranked Set Sampling with Unequal Samples.
Axioms
Jia Liu, Liang Wang, Yogesh Mani Tripathi, Yuhlong Lio
2023 J jnl
Comparison of Estimation Methods for Reliability Function for Family of Inverse Exponentiated Distributions under New Loss Function.
Axioms
Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang
2023 J jnl
Inference for Partially Accelerated Life Test from a Bathtub-Shaped Lifetime Distribution with Progressive Censoring.
Axioms
Yingzi Niu, Liang Wang, Yogesh Mani Tripathi, Jia Liu
2023 J jnl
Inference for block progressive censored competing risks data from an inverted exponentiated exponential model.
Qual. Reliab. Eng. Int.
Liang Wang, Shuo-Jye Wu, Huizhong Lin, Yogesh Mani Tripathi
2023 J jnl
On a progressively censored competing risks data from Gompertz distribution.
Commun. Stat. Simul. Comput.
Chandrakant Lodhi, Yogesh Mani Tripathi, Ritwik Bhattacharya
2023 J jnl
Reliability estimation for bathtub-shaped distribution under block progressive censoring.
Math. Comput. Simul.
Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang
2023 J jnl
Reliability inference for stress-strength model based on inverted exponential Rayleigh distribution under progressive Type-II censored data.
Commun. Stat. Simul. Comput.
Jin'ge Ma, Liang Wang, Yogesh Mani Tripathi, Manoj Kumar Rastogi
2022 J jnl
Analysis for constant-stress model on multicomponent system from generalized inverted exponential distribution with stress dependent parameters.
Math. Comput. Simul.
Liang Wang, Shuo-Jye Wu, Chunfang Zhang, Sanku Dey, Yogesh Mani Tripathi
2022 J jnl
Analysis of dependent left-truncated and right-censored competing risks data with partially observed failure causes.
Math. Comput. Simul.
Liang Wang, Yogesh Mani Tripathi, Sanku Dey, Chunfang Zhang, Ke Wu
2022 J jnl
Inference for Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring.
Symmetry
Liang Wang, Ying Zhou, Yuhlong Lio, Yogesh Mani Tripathi
2022 J jnl
Inference for constant-stress Weibull competing risks model under generalized progressive hybrid censoring.
Math. Comput. Simul.
Liang Wang, Yogesh Mani Tripathi, Chandrakant Lodhi, Xuanjia Zuo
2022 J jnl
Inference for dependent competing risks from bivariate Kumaraswamy distribution under generalized progressive hybrid censoring.
Commun. Stat. Simul. Comput.
Liang Wang, Mengyang Li, Yogesh Mani Tripathi
2021 J jnl
Estimating the parameters of a truncated normal distribution under progressive type II censoring.
Commun. Stat. Simul. Comput.
Chandrakant Lodhi, Yogesh Mani Tripathi, Manoj Kumar Rastogi
2021 J jnl
Inference for dependence competing risks with partially observed failure causes from bivariate Gompertz distribution under generalized progressive hybrid censoring.
Qual. Reliab. Eng. Int.
Liang Wang, Yogesh Mani Tripathi, Sanku Dey, Yimin Shi
2021 J jnl
Inference for two-parameter Rayleigh competing risks data under generalized progressive hybrid censoring.
Qual. Reliab. Eng. Int.
Devendra Pratap Singh, Chandrakant Lodhi, Yogesh Mani Tripathi, Liang Wang
2021 J jnl
Reliability analysis of Weibull multicomponent system with stress-dependent parameters from accelerated life data.
Qual. Reliab. Eng. Int.
Liang Wang, Chunfang Zhang, Yogesh Mani Tripathi, Sanku Dey, Shuo-Jye Wu
2021 J jnl
Statistical inference and Bayesian optimal life-testing plans under Type-II unified hybrid censoring scheme.
Qual. Reliab. Eng. Int.
Tanmay Sen, Ritwik Bhattacharya, Biswabrata Pradhan, Yogesh Mani Tripathi
2020 J jnl
Inference and optimum life testing plans based on Type-II progressive hybrid censored generalized exponential data.
Commun. Stat. Simul. Comput.
Tanmay Sen, Ritwik Bhattacharya, Yogesh Mani Tripathi, Biswabrata Pradhan
2020 J jnl
Inference for Weibull competing risks model with partially observed failure causes under generalized progressive hybrid censoring.
J. Comput. Appl. Math.
Liang Wang, Yogesh Mani Tripathi, Chandrakant Lodhi
2020 J jnl
Inference for confidence sets of the generalized inverted exponential distribution under k-record values.
J. Comput. Appl. Math.
Liang Wang, Yogesh Mani Tripathi, Shuo-Jye Wu, Meng Zhang
2020 J jnl
Reliability estimation of a multicomponent stress-strength model for unit Gompertz distribution under progressive Type II censoring.
Qual. Reliab. Eng. Int.
Mayank Kumar Jha, Sanku Dey, Refah Mohammed Alotaibi, Yogesh Mani Tripathi
2020 J jnl
Reliability inference for a multicomponent stress-strength model based on Kumaraswamy distribution.
J. Comput. Appl. Math.
Liang Wang, Sanku Dey, Yogesh Mani Tripathi, Shuo-Jye Wu
2020 J jnl
Statistical inference on progressive-stress accelerated life testing for the logistic exponential distribution under progressive type-II censoring.
Qual. Reliab. Eng. Int.
Amulya Kumar Mahto, Sanku Dey, Yogesh Mani Tripathi
2019 J jnl
On a generalized Lomax distribution.
Int. J. Syst. Assur. Eng. Manag.
Raj Kamal Maurya, Yogesh Mani Tripathi, Chandrakant Lodhi, Manoj Kumar Rastogi
2017 J jnl
Estimation of the PDF and the CDF of exponentiated moment exponential distribution.
Int. J. Syst. Assur. Eng. Manag.
Yogesh Mani Tripathi, Tanmay Kayal, Sanku Dey
2017 J jnl
Inference for Burr XII distribution under Type I progressive hybrid censoring.
Commun. Stat. Simul. Comput.
Tanmay Kayal, Yogesh Mani Tripathi, Manoj Kumar Rastogi, Akbar Asgharzadeh
2016 J jnl
Bayesian Estimation and Prediction for a Hybrid Censored Lognormal Distribution.
IEEE Trans. Reliab.
Sukhdev Singh, Yogesh Mani Tripathi
2013 J jnl
Estimation using hybrid censored data from a two-parameter distribution with bathtub shape.
Comput. Stat. Data Anal.
Manoj Kumar Rastogi, Yogesh Mani Tripathi